AliGraph: A Comprehensive Graph Neural Network Platform

23 February 2019

Hongxia Yang

Chang Zhou

Yong Li

Jingren Zhou

GNN

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Papers citing "AliGraph: A Comprehensive Graph Neural Network Platform"

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Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning Anirudhan Badrinath Alex Yang Kousik Rajesh Prabhat Agarwal Jaewon Yang Haoyu Chen Jiajing Xu Charles R. Rosenberg AI4TS 31 0 0 22 Apr 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 64 0 0 25 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 46 0 0 20 Feb 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 49 1 0 29 Dec 2024
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores Zhonggen Li Xiangyu Ke Yifan Zhu Yunjun Gao Yaofeng Tu 79 0 0 12 Dec 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka M. Wahib GNN 69 0 0 25 Nov 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 31 2 0 30 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 34 1 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 43 1 0 17 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 36 1 0 10 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 29 0 0 01 Sep 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction Shuai Zhang Zite Jiang Haihang You GNN 25 1 0 01 Aug 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 36 0 0 22 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 40 0 0 21 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 72 11 0 12 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor Yuxuan Zhu Michael Mandulak Kerui Wu George Slota Yuseok Jeon Ka-Ho Chow Lei Yu AAML 30 1 0 02 Jul 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training Qisheng Jiang Lei Jia Chundong Wang GNN 26 1 0 20 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 48 2 0 18 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 35 0 0 12 Jun 2024
GraphStorm: all-in-one graph machine learning framework for industry applications Da Zheng Xiang Song Qi Zhu Jian Zhang Theodore Vasiloudis ... Qingjun Cui Huzefa Rangwala Belinda Zeng Christos Faloutsos George Karypis AI4TS AI4CE VLM 40 4 0 10 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 41 1 0 01 Jun 2024
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training Yuxiang Zhang Xin Liu Meng Wu Wei Yan Yurui Lai Xiaochun Ye Xiaochun Ye GNN AAML 31 1 0 10 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 32 10 0 01 May 2024
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework Jun-Hua Mei Shixuan Sun Chao Li Cheng Xu Cheng Chen ... Cheng Zhao Xiao-Ke Hou Minyi Guo Bingsheng He Xiaoliang Cong 23 4 0 12 Apr 2024
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks Xin Huang Weipeng Zhuo Minh Phu Vuong Shiju Li Jongryool Kim Bradley Rees Chul-Ho Lee GNN 33 0 0 02 Apr 2024
A Unified CPU-GPU Protocol for GNN Training Yi-Chien Lin Gangda Deng Viktor Prasanna GNN 3DH 34 2 0 25 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 38 2 0 09 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 41 36 0 07 Mar 2024
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning Zezhong Ding Yongan Xiang Shangyou Wang Xike Xie S. K. Zhou 29 3 0 28 Feb 2024
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks Mengmei Zhang Mingwei Sun Peng Wang Shen Fan Yanhu Mo Xiaoxiao Xu Hong Liu Cheng Yang Chuan Shi 30 38 0 11 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor Yi-Chien Lin Yuyang Chen Sameh Gobriel Nilesh Jain Gopi Krishna Jha Viktor Prasanna GNN 29 3 0 06 Feb 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 24 2 0 06 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 66 6 0 13 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 43 5 0 05 Dec 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 36 1 0 29 Nov 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Yuchen Zhong Guangming Sheng Tianzuo Qin Minjie Wang Quan Gan Chuan Wu AI4CE GNN 37 7 0 29 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He GNN 26 9 0 25 Nov 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 20 1 0 12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 30 0 0 10 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç 21 3 0 06 Nov 2023
Entropy Aware Training for Fast and Accurate Distributed GNN Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 35 0 0 04 Nov 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 25 1 0 19 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Fei Wu Zeke Wang GNN 44 5 0 02 Oct 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 55 3 0 27 Sep 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 29 36 0 25 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 29 3 0 07 Sep 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 23 6 0 27 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 19 3 0 25 Aug 2023